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Chrysostomos D. Stylios
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2020 – today
- 2024
- [j39]Roberto Figliè
, Riccardo Amadio
Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0. IEEE Access 12: 19355-19374 (2024) - [j38]Dimitris Mpouziotas
AliAmvra - Enhancing Customer Experience through the Application of Machine Learning Techniques for Survey Data Assessment and Analysis. Inf. 15(2): 83 (2024) - [j37]Athanasios Christopoulos
The Impact of Immersive Virtual Reality on Knowledge Acquisition and Adolescent Perceptions in Cultural Education. Inf. 15(5): 261 (2024) - [c97]Sofia Sakka
A Blockchain Identity Privacy Management Framework for a Healthcare Application. Blockchain 2024: 599-604 - [c96]Stylianos Mystakidis
Virtual Museum Gamification for Discovery-Based Online Learning in the Metaverse. CSEDU (1) 2024: 711-719 - [c95]Marios Tyrovolas, Chrysostomos D. Stylios, Khurshid Aliev, Dario Antonelli:
Leveraging Information Flow-Based Fuzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics. DoCEIS 2024: 98-110 - [c94]Sofia Sakka, Vasiliki Liagkou, Chrysostomos D. Stylios, Afonso Ferreira:
On the Privacy and Security for E-Education Metaverse. EDUCON 2024: 1-10 - [c93]Evangelos D. Spyrou, Chrysostomos D. Stylios:
Cell Zooming in LTE-R as a Potential Game. PRO-VE (2) 2024: 396-406 - [c92]George Pachoulas, Katerina Florou, Jeries Besharat, Chrysostomos D. Stylios:
Enhancing Visitor Experience and Hospitality in Accommodation Facilities through Smart Tourism and Mobile Technology. SEEDA-CECNSM 2024: 36-41 - [c91]Dimitrios Mpouziotas, Petros S. Karvelis, Chrysostomos D. Stylios:
A Multimodal Computer Vision Approach for Wildlife Bird Surveillance using Drones. SEEDA-CECNSM 2024: 63-68 - [d1]Marios Tyrovolas, Khurshid Aliev, Dario Antonelli, Chrysostomos D. Stylios:
UR3 CobotOps. UCI Machine Learning Repository, 2024 - [i2]Marios Tyrovolas, Nikolaos D. Kallimanis, Chrysostomos D. Stylios:
Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps. CoRR abs/2405.09190 (2024) - 2023
- [j36]Evangelos D. Spyrou, Chrysostomos D. Stylios
Classification of CO Environmental Parameter for Air Pollution Monitoring with Grammatical Evolution. Algorithms 16(6): 300 (2023) - [j35]Evangelos D. Spyrou, Ioannis G. Tsoulos, Chrysostomos D. Stylios
Distributed Denial of Service Classification for Software-Defined Networking Using Grammatical Evolution. Future Internet 15(12): 401 (2023) - [j34]Sofia Sakka
Exploiting Security Issues in Human Activity Recognition Systems (HARSs). Inf. 14(6): 315 (2023) - [j33]Ioannis Koulouras, Ilias Bobotsaris, Spiridoula V. Margariti
Assessment of SDN Controllers in Wireless Environment Using a Multi-Criteria Technique. Inf. 14(9): 476 (2023) - [j32]Ioannis G. Tsoulos, Chrysostomos D. Stylios, Vlasis Charalampous:
COVID-19 Predictive Models Based on Grammatical Evolution. SN Comput. Sci. 4(2): 191 (2023) - [c90]Christos Anagnostopoulos, Aris S. Lalos, Petros Kapsalas, Duong Nguyen Van, Chrysostomos D. Stylios:
Reviewing Deep Learning-Based Feature Extractors in a Novel Automotive SLAM Framework. MED 2023: 107-112 - [c89]Odysseas Karadimas, Aikaterini Florou, Spiridoula V. Margariti
Modeling Network Traffic and Exploring Distribution Fitting: A Case Study on Spotify. SEEDA-CECNSM 2023: 1-6 - 2022
- [j31]Grzegorz Dec
Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing. Sensors 22(7): 2496 (2022) - [j30]Dorota Stadnicka
Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing. Sensors 22(12): 4501 (2022) - [c88]Giannis-Panagiots Botilias, Chrysostomos D. Stylios:
App for Physical Fitness Improvement based on Physical Activity Guidelines and Self-Testing Tools. BSN 2022: 1-4 - [c87]Lamprini Pappa
A comparative study on recognizing human activities by applying diverse Machine Learning approaches. EMBC 2022: 3661-3664 - [c86]Spiridoula V. Margariti, Jeries Besharat, Dimitris Salmas, George Pachoulas, Giannis Botilias, Chrysostomos D. Stylios, Dimitrios Kafetzopoulos, Dimitrios Skalkos:
Eukreas: An Integrated Framework for the Effective Traceability of Greek Meat - Abstract. HAICTA 2022: 106-107 - [c85]Ioannis L. Tsirogiannis, Penelope Baltzoi, Konstantina Fotia, Dimitris Salmas, George Pachoulas, Charalampos Karipidis, Spiridoula V. Margariti, Chrysostomos D. Stylios:
Introducing Kiwifruit Water Footprint into a Traceability IT System. HAICTA 2022: 193-196 - [c84]Spiridoula V. Margariti, Dimitris Salmas, George Pachoulas, Paraskevas Schismenos, Penelope Baltzoi, Konstantina Fotia, Charalampos Karipidis, Ioannis L. Tsirogiannis, Chrysostomos D. Stylios:
Design and Development of an Efficient Traceability System for Greek Kiwifruit. HAICTA 2022: 320-326 - [c83]Panagiotis Satos, Chrysostomos D. Stylios:
Examining n-grams and Multinomial Naïve Bayes Classifier for Identifying the Author of the Text "Epistle to the Hebrews". ICAART (1) 2022: 447-458 - [c82]Christos Anagnostopoulos, Christos Koulamas, Aris S. Lalos, Chrysostomos D. Stylios:
Open-Source Integrated Simulation Framework for Cooperative Autonomous Vehicles. MECO 2022: 1-4 - [c81]Evangelos Vlachos, Evangelos D. Spyrou, Chrysostomos D. Stylios, Kostas Berberidis:
Optimal MmWave Sensor Selection for Bearing-Only Localization in Smart Environments. MED 2022: 152-157 - [c80]Ioannis Koulouras, Spiridoula V. Margariti
On the Performance of SDN Controllers in Real World Topologies. NFV-SDN 2022: 143-148 - [c79]Giannis Botilias, Lamprini Pappa
Tracking individuals' health using mobile applications and Machine Learning. SEEDA-CECNSM 2022: 1-6 - [c78]Giannis-Panagiots Botilias, George Pachoulas
Smart Tourism via Smart Phone - An Enhanced Approach. SEEDA-CECNSM 2022: 1-5 - [c77]Vasiliki Liagkou, Sofia Sakka
Security and Privacy Vulnerabilities in Human Activity Recognition systems. SEEDA-CECNSM 2022: 1-6 - [c76]Evangelos D. Spyrou, Christoforos Nestoris, Chrysostomos D. Stylios:
Tourette Syndrome's Coprolalia Explanation using Bipartite Graph Matching of Thoughts and Game Theoretic Model for Symptoms Minimisation. SEEDA-CECNSM 2022: 1-5 - [i1]Roberto Figliè, Riccardo Amadio, Marios Tyrovolas
Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0. CoRR abs/2211.16563 (2022) - 2021
- [j29]George K. Georgoulas, Petros S. Karvelis
An exploratory approach to fetal heart rate-pH-based systems. Signal Image Video Process. 15(1): 43-51 (2021) - [c75]Evangelos D. Spyrou
DSRC or LTE? Selecting the Best Medium for V2I Communication Using Game Theory. PRO-VE 2021: 577-587 - [c74]George Pachoulas
An adaptable Web GIS platform for monitoring Port air quality. MED 2021: 512-517 - [c73]Paraskevas Schismenos, Petros S. Karvelis, Chrysostomos D. Stylios:
Risk Flood Assessment for the Arachthos River using Analytic Hierarchy Process. MED 2021: 1167-1172 - [c72]Giannis Botilias, George Papantzikos, Athanasios Christopoulos, Jeries Besharat, Chrysostomos D. Stylios:
Designing a Cultural Augmented Reality Application For Educational Purposes. SEEDA-CECNSM 2021: 1-5 - [c71]Stylianos Mystakidis, George Papantzikos, Chrysostomos D. Stylios:
Virtual Reality Escape Rooms for STEM Education in Industry 4.0: Greek Teachers Perspectives. SEEDA-CECNSM 2021: 1-5 - [c70]Lamprini Pappa
Slopewise Aggregate Approximation SAX: keeping the trend of a time series. SSCI 2021: 1-8 - [c69]Dimitrios Salmas
Lesson Learnt by Using DevOps and Scrum for Development a Traceability Software. WorldCIST (4) 2021: 366-373 - 2020
- [j28]Petros S. Karvelis
PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction. Sensors 20(11): 3181 (2020) - [c68]Dimitrios Kafetzopoulos, Chrysostomos D. Stylios, Dimitrios Skalkos:
Managing Traceability in the Meat Processing Industry: Principles, Guidelines and Technologies. HAICTA 2020: 302-308 - [c67]Vlasis Charalampous, Spyridoula Margariti, Dimitris Salmas, Chrysostomos D. Stylios, Dimitris Kafetzopoulos, Dimitrios Skalkos:
Design and Develop Cloud-based System for Meat Traceability. HAICTA 2020: 475-484 - [c66]Vlasis Charalampous, Jeries Besharat, Chrysostomos D. Stylios:
Designing and Developing a VR Environment for Indoor Fire Simulation. PCI 2020: 237-240 - [c65]Angelos Papoutsis, Giannis Botilias
A Machine Learning Approach for Human Activity Recognition. pHealth 2020: 155-160 - [c64]Giannis Botilias
Track My Health: An IoT Approach for Data Acquisition and Activity Recognition. pHealth 2020: 266-271 - [c63]Lamprini Pappa
Multichannel Symbolic Aggregate Approximation Intelligent Icons: Application for Activity Recognition. SSCI 2020: 505-512
2010 – 2019
- 2019
- [j27]Vasiliki Liagkou, Chrysostomos D. Stylios, Aleksandr A. Petunin:
Handling Privacy and Concurrency in an Online Educational Evaluation System. Balt. J. Mod. Comput. 7(1) (2019) - [c62]Denise M. Case
Construction Industry Pursuit Intel Modeling Insights with FCM. FUZZ-IEEE 2019: 1-6 - [c61]Vasiliki Liagkou, Chrysostomos D. Stylios:
VR Training for Security Awareness in Industrial IoT. PRO-VE 2019: 604-612 - [c60]Petros S. Karvelis
Short Time Wind Forecasting with Uncertainty. IISA 2019: 1-4 - [c59]Giovanni Mazzuto
Empower Fuzzy Cognitive Maps Decision Making abilities with Swarm Intelligence Algorithms. SMC 2019: 2602-2607 - 2018
- [c58]Vasiliki Liagkou, Chrysostomos D. Stylios:
A Trustworthy and Privacy Preserving Model for Online Competence Evaluation System. DepCoS-RELCOMEX 2018: 338-347 - [c57]Giovanni Mazzuto
Aggregate experts knowledge in Fuzzy Cognitive Maps. FUZZ-IEEE 2018: 1-6 - [c56]Giovanni Mazzuto
Fuzzy Cognitive Maps designing through large dataset and experts' knowledge balancing. FUZZ-IEEE 2018: 1-6 - [c55]George K. Georgoulas, Petros S. Karvelis
Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors. IECON 2018: 5930-5935 - [c54]Petros S. Karvelis
Topic recommendation using Doc2Vec. IJCNN 2018: 1-6 - [c53]Petros S. Karvelis
Adopting and Embedding Machine Learning Algorithms in Microcontroller for Weather Prediction. IEEE Conf. on Intelligent Systems 2018: 474-478 - 2017
- [j26]George K. Georgoulas, Vicente Climente-Alarcon
The Use of a Multilabel Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults Based on the Start-Up Transient. IEEE Trans. Ind. Informatics 13(2): 625-634 (2017) - [c52]George K. Georgoulas, Petros S. Karvelis
An ordinal classification approach for CTG categorization. EMBC 2017: 2642-2645 - [c51]Prasunjit Nayak, Sushmitha Madireddy, Denise M. Case
Using fuzzy cognitive maps to model university desirability and selection. SMC 2017: 1976-1981 - [c50]Petros S. Karvelis
Ensemble learning for forecasting main meteorological parameters. SMC 2017: 3711-3714 - 2016
- [c49]Stavros Kolios, Dimitrios Loukadakis, Chrysostomos D. Stylios, Andreas Kazantzidis
A WebGIS Application for Cloud Storm Monitoring. DB&IS 2016: 151-163 - [c48]George K. Georgoulas, Vicente Climente-Alarcon
A multi-label classification approach for the detection of broken bars and mixed eccentricity faults using the start-up transient. INDIN 2016: 430-433 - [c47]George K. Georgoulas, Stavros Kolios, Petros S. Karvelis
Examining nominal and ordinal classifiers for forecasting wind speed. IEEE Conf. on Intelligent Systems 2016: 504-509 - [c46]Petros S. Karvelis
Towards a fully automated tool for annotation of phasic electromyographic activity. MED 2016: 327-331 - [c45]Denise M. Case
Fuzzy Cognitive Map to model project management problems. NAFIPS 2016: 1-6 - [c44]Evangelia Bourgani, George Manis, Chrysostomos D. Stylios, Voula C. Georgopoulos:
Timed-Fuzzy Cognitive Maps: An overview. SMC 2016: 4483-4488 - [c43]Denise M. Case
Introducing a Fuzzy Cognitive Map for modeling power market auction behavior. SSCI 2016: 1-8 - 2015
- [j25]Vladik Kreinovich, Chrysostomos D. Stylios:
Why Fuzzy Cognitive Maps Are Efficient. Int. J. Comput. Commun. Control 10(6): 65-73 (2015) - [j24]Maria Pia Fanti
A simulation based Decision Support System for logistics management. J. Comput. Sci. 10: 86-96 (2015) - [j23]Petros S. Karvelis
A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors. IEEE Trans. Ind. Informatics 11(5): 1028-1037 (2015) - [c42]Evangelia Bourgani, Chrysostomos D. Stylios, George Manis, Voula C. Georgopoulos:
Timed Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-6 - [c41]Chrysostomos D. Stylios, Voula C. Georgopoulos:
Develop Fuzzy Cognitive Maps based on recorded data and information. FUZZ-IEEE 2015: 1-6 - [c40]Petros S. Karvelis
Symbolic time series analysis of the soft starting transient in induction machines. ICIT 2015: 3243-3248 - [c39]George K. Georgoulas, Petros S. Karvelis
Automatizing the detection of rotor failures in induction motors operated via soft-starters. IECON 2015: 3743-3748 - [c38]Seungjun Ahn
Fuzzy Cognitive Maps as a tool for modeling construction labor productivity. NAFIPS/WConSC 2015: 1-7 - [c37]Chrysostomos D. Stylios, Vladik Kreinovich:
Symbolic Aggregate approXimation (SAX) under interval uncertainty. NAFIPS/WConSC 2015: 1-7 - [c36]Chrysostomos D. Stylios, Andrzej Pownuk, Vladik Kreinovich:
Sometimes, it is beneficial to process different types of uncertainty separately. NAFIPS/WConSC 2015: 1-5 - 2014
- [j22]Jacqueline Fairley, George K. Georgoulas, Otis L. Smart, George Dimakopoulos, Petros S. Karvelis
Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction. Comput. Biol. Medicine 48: 77-84 (2014) - [j21]George K. Georgoulas, Ioannis P. Tsoumas
Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines. IEEE Trans. Ind. Electron. 61(9): 4937-4946 (2014) - [c35]George K. Georgoulas, Jirí Spilka, Petros S. Karvelis
A three class treatment of the FHR classification problem using latent class analysis labeling. EMBC 2014: 46-49 - [c34]Voula C. Georgopoulos, Spyridoula Chouliara, Chrysostomos D. Stylios:
Fuzzy Cognitive Map scenario-based medical decision support systems for education. EMBC 2014: 1813-1816 - [c33]Petros S. Karvelis
An automated thermographic image segmentation method for induction motor fault diagnosis. IECON 2014: 3396-3402 - [c32]Stefanos Petsios, Chrysostomos D. Stylios:
A Collaborative IT Network for Three Adriatic Maritime Ports. PRO-VE 2014: 722-729 - [c31]Evangelia Bourgani, Chrysostomos D. Stylios, George Manis, Voula C. Georgopoulos:
Integrated Approach for Developing Timed Fuzzy Cognitive Maps. IEEE Conf. on Intelligent Systems (1) 2014: 193-204 - [c30]Jirí Spilka, George K. Georgoulas, Petros S. Karvelis
Discriminating Normal from "Abnormal" Pregnancy Cases Using an Automated FHR Evaluation Method. SETN 2014: 521-531 - [c29]Petros S. Karvelis
Semi-Automated Annotation of Phasic Electromyographic Activity. SETN 2014: 532-543 - [c28]Evangelia Bourgani, Chrysostomos D. Stylios, George Manis, Voula C. Georgopoulos:
Time Dependent Fuzzy Cognitive Maps for Medical Diagnosis. SETN 2014: 544-554 - 2013
- [j20]George K. Georgoulas, Antonios Konstantaras
"Seismic-mass" density-based algorithm for spatio-temporal clustering. Expert Syst. Appl. 40(10): 4183-4189 (2013) - [j19]George K. Georgoulas, Mohammed Obaid Mustafa
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines. Expert Syst. Appl. 40(17): 7024-7033 (2013) - [c27]Stavros Kolios, Chrysostomos D. Stylios:
Ambient Systems for the Environmental Monitoring: Characteristic Examples at Different Spatial Scales. AMBI-SYS 2013: 123-130 - [c26]Vangelis P. Oikonomou, Jirí Spilka, Chrysostomos D. Stylios, Lenka Lhotská:
An adaptive method for the recovery of missing samples from FHR time series. CBMS 2013: 337-342 - [c25]Evangelia Bourgani, Chrysostomos D. Stylios, Voula C. Georgopoulos, George Manis:
A study on Fuzzy Cognitive Map structures for Medical Decision Support Systems. EUSFLAT Conf. 2013 - [c24]Petros S. Karvelis
An intelligent icons approach for rotor bar fault detection. IECON 2013: 5526-5531 - [c23]Stavros Kolios, Olga Maurodimou, Chrysostomos D. Stylios:
Integrated Large-Scale Environmental Information Systems: A Short Survey. PRO-VE 2013: 164-171 - [c22]Jirí Spilka, George K. Georgoulas, Petros S. Karvelis
Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. ITBAM 2013: 47-61 - [c21]Voula C. Georgopoulos, Chrysostomos D. Stylios:
Supervisory Fuzzy Cognitive Map Structure for Triage Assessment and Decision Support in the Emergency Department. SIMULTECH (Selected Papers) 2013: 255-269 - [c20]Voula C. Georgopoulos, Chrysostomos D. Stylios:
Fuzzy Cognitive Map Hierarchical Triage Decision Support for the Elderly. SIMULTECH 2013: 577-583 - 2012
- [j18]Jirí Spilka, Václav Chudácek
Using nonlinear features for fetal heart rate classification. Biomed. Signal Process. Control. 7(4): 350-357 (2012) - [c19]Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas:
Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO 2012: 65-72 - [c18]Spiros Vasilakos, Giorgio Iacobellis, Chrysostomos D. Stylios, Maria Pia Fanti
Decision Support Systems based on a UML description approach. IEEE Conf. of Intelligent Systems 2012: 41-46 - 2011
- [c17]Chrysostomos D. Stylios, George K. Georgoulas:
Modeling complex logistics systems using soft computing methodology of Fuzzy Cognitive Maps. CASE 2011: 72-77 - 2010
- [c16]Jacqueline Fairley, George K. Georgoulas, Chrysostomos D. Stylios, David B. Rye:
A Hybrid Approach for Artifact Detection in EEG Data. ICANN (1) 2010: 436-441 - [c15]Václav Chudácek, Jirí Spilka, Michal Huptych
Automatic Classification of Intrapartal Fetal Heart-Rate Recordings - Can It Compete with Experts? ITBAM 2010: 57-66
2000 – 2009
- 2009
- [c14]Václav Chudácek, George K. Georgoulas, Michal Huptych
Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier. ICANN (2) 2009: 485-494 - [c13]George K. Georgoulas, Voula C. Georgopoulos, George Stylios
Detection of articulation disorders using Empirical Mode Decomposition and neural networks. IJCNN 2009: 959-964 - [c12]Vassilios A. Kappatos, George K. Georgoulas, Chrysostomos D. Stylios, Evangelos Dermatas:
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach. IJCNN 2009: 1531-1538 - 2008
- [j17]Elpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos:
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Appl. Soft Comput. 8(1): 820-828 (2008) - [j16]Chrysostomos D. Stylios, Voula C. Georgopoulos, Georgia A. Malandraki, Spyridoula Chouliara:
Fuzzy cognitive map architectures for medical decision support systems. Appl. Soft Comput. 8(3): 1243-1251 (2008) - [j15]Voula C. Georgopoulos, Chrysostomos D. Stylios:
Complementary case-based reasoning and competitive fuzzy cognitive maps for advanced medical decisions. Soft Comput. 12(2): 191-199 (2008) - [c11]Chrysostomos D. Stylios, Voula C. Georgopoulos:
Genetic algorithm enhanced Fuzzy Cognitive Maps for medical diagnosis. FUZZ-IEEE 2008: 2123-2128 - 2007
- [j14]George K. Georgoulas, Dimitris Gavrilis, Ioannis G. Tsoulos, Chrysostomos D. Stylios, João Bernardes
Novel approach for fetal heart rate classification introducing grammatical evolution. Biomed. Signal Process. Control. 2(2): 69-79 (2007) - 2006
- [j13]Elpiniki Papageorgiou
Advanced soft computing diagnosis method for tumour grading. Artif. Intell. Medicine 36(1): 59-70 (2006) - [j12]George K. Georgoulas, Chrysostomos D. Stylios, Peter P. Groumpos:
Feature Extraction and Classification of Fetal Heart Rate Using Wavelet Analysis and Support Vector Machines. Int. J. Artif. Intell. Tools 15(3): 411-432 (2006) - [j11]Elpiniki Papageorgiou
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links. Int. J. Hum. Comput. Stud. 64(8): 727-743 (2006) - [j10]George K. Georgoulas, Chrysostomos D. Stylios, Petros P. Groumpos:
Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines. IEEE Trans. Biomed. Eng. 53(5): 875-884 (2006) - [c10]George K. Georgoulas, Voula C. Georgopoulos, Chrysostomos D. Stylios:
Speech Sound Classification and Detection of Articulation Disorders with Support Vector Machines and Wavelets. EMBC 2006: 2199-2202 - [c9]Elpiniki Papageorgiou
A Combined Fuzzy Cognitive Map and Decision Trees Model for Medical Decision Making. EMBC 2006: 6117-6120 - [c8]Elpiniki Papageorgiou, George K. Georgoulas, Chrysostomos D. Stylios, George Nikiforidis, Peter P. Groumpos:
Combining Fuzzy Cognitive Maps with Support Vector Machines for Bladder Tumor Grading. KES (1) 2006: 515-523 - [c7]Elpiniki Papageorgiou
Introducing Interval Analysis in Fuzzy Cognitive Map Framework. SETN 2006: 571-575 - 2005
- [j9]Elpiniki Papageorgiou
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. 25(1): 95-121 (2005) - 2004
- [j8]Elpiniki Papageorgiou
Active Hebbian learning algorithm to train fuzzy cognitive maps. Int. J. Approx. Reason. 37(3): 219-249 (2004) - [j7]Chrysostomos D. Stylios, Petros P. Groumpos:
Modeling complex systems using fuzzy cognitive maps. IEEE Trans. Syst. Man Cybern. Part A 34(1): 155-162 (2004) - [c6]Elpiniki Papageorgiou, Panagiota Spyridonos
The Challenge of Soft Computing Techniques for Tumor Characterization. ICAISC 2004: 1031-1036 - 2003
- [j6]Voula C. Georgopoulos, Georgia A. Malandraki, Chrysostomos D. Stylios:
A fuzzy cognitive map approach to differential diagnosis of specific language impairment. Artif. Intell. Medicine 29(3): 261-278 (2003) - [j5]Elpiniki Papageorgiou
An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps. IEEE Trans. Biomed. Eng. 50(12): 1326-1339 (2003) - [c5]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule. Australian Conference on Artificial Intelligence 2003: 256-268 - [c4]Nikolinka Christova, Mincho Hadjiski, Gancho Vachkov, Chrysostomos D. Stylios:
An integrated approach to intelligent modeling of industrial plants. CIRA 2003: 1527-1532 - 2001
- [c3]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Learning algorithms for fuzzy cognitive maps. EUSFLAT Conf. 2001: 83-88 - [c2]Chrysostomos D. Stylios, Pamela C. Georgopoulos, Petros P. Groumpos:
Decision support system for radio therapy based on fuzzy cognitive maps. EUSFLAT Conf. 2001: 431-434 - 2000
- [j4]Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy Cognitive Maps in modeling supervisory control systems. J. Intell. Fuzzy Syst. 8(1): 83-98 (2000)
1990 – 1999
- 1999
- [j3]Chrysostomos D. Stylios, Peter P. Groumpos, Voula C. Georgopoulos:
Fuzzy Cognitive Map Approach to Process Control Systems Chrysostomos. J. Adv. Comput. Intell. Intell. Informatics 3(5): 409-417 (1999) - [j2]Chrysostomos D. Stylios, Peter P. Groumpos:
A Soft Computing Approach for Modelling the Supervisor of Manufacturing Systems. J. Intell. Robotic Syst. 26(3-4): 389-403 (1999) - 1998
- [j1]Chrysostomos D. Stylios, Peter P. Groumpos:
The challenge of modelling supervisory systems using fuzzy cognitive maps. J. Intell. Manuf. 9(4): 339-345 (1998) - [c1]Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy cognitive map model for supervisory manufacture systems. BASYS 1998: 137-146
Coauthor Index
Jose A. Antonino-Daviu
aka: Jose Alfonso Antonino-Daviu
aka: Jose Alfonso Antonino-Daviu
Peter P. Groumpos
aka: Petros P. Groumpos
aka: Petros P. Groumpos
Elpiniki I. Papageorgiou
aka: Elpiniki Papageorgiou
aka: Elpiniki Papageorgiou
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last updated on 2024-11-11 22:26 CET by the dblp team
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